[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.

SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction

A collection of resources on fashion compatibility learning.

Graph neural networks for movie recommendation (IGMC), link prediction (SEAL) and node classification (HGT)

[WISE20] NeuLP: An End-to-end Deep-learning Model for Link Prediction (https://dl.acm.org/doi/abs/10.1007/978-3-030-62005-9_8)

This repository contains codes and data related to the paper "FunQG: Molecular Representation Learning Via Quotient Graphs". A pre-print version of this paper is currently available at